Six Steps to Managing Data Quality with SQL Server Integration Services (SSIS) by Melissa Data CorpWelcome, Guest      sign in | register | help


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Research Abstract
Six Steps to Managing Data Quality with SQL Server Integration Services (SSIS)
by Melissa Data Corp

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Published on: April 15, 2010
Type of content: WHITE PAPER
Format: Unknown
Length: 6 pages
Price: FREE

Overview:

Your database is your business’s most valuable asset. It is the foundation on which your business process decisions are made, but in order to be of greatest value, the data it contains must be consistent, relevant, and accurate.


Unfortunately, data quality is something all organizations have struggled with at some point. The ramifications of poor data quality, however, are endless negatively impacting business decision-making, impairing effective customer relationship management (CRM), and hindering the success of Master Data Management (MDM) initiatives.


Review this exclusive resource to discover how SQL Server Integration Services can help you overcome data quality issues to ensure your MDM project is a success.

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